Senior AI Product Manager

Senior Product Manager , AI

This position can be located in the following area(s): Remote in Colombia or Argentina. Hybrid in Bogotá available for candidates who prefer it.

Company Overview

• Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
• We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.

Position Overview

We're looking for a Senior Product Manager, AI to lead end-to-end product delivery for complex GenAI and agentic AI engagements. This role demands deep AI fluency, hands-on prototyping ability, and the product judgment to navigate non-deterministic systems at enterprise scale. It is ideal for an experienced AI product leader who can own the full arc of an engagement — from framing the problem through shipping a production-grade agentic solution — while building trusted relationships with senior client stakeholders.

In this role, you will work as the primary product lead on a cross-functional AI delivery team, owning the roadmap, defining agent behavior, running evals, and guiding delivery from discovery through phased rollout. You will lead AI product work for an enterprise client in a global engagement, shaping agentic and generative AI solutions on AWS from discovery through delivery, with Spanish-speaking and English-speaking stakeholders across regions.

Why This Role Matters

Senior Product Managers, AI are how Robots and Pencils turns AI ambition into shipped agentic systems. On the engagements you lead, you own discovery and delivery end-to-end, define the agent behavior and evals that hold up in production, and keep the team focused on outcomes — not just features. We ship production-ready AI in 30 to 45 days; that pace holds only when someone owns the product like their own, stays close to both the user and the model, and surfaces the AI trade-offs — latency, cost, quality, safety — before they cost the result.

What You’ll Do

Craft & Delivery

Own end-to-end product delivery for complex AI and agentic AI engagements, from discovery and hypothesis framing through phased rollout and production readiness

Define and maintain AI product roadmaps that connect agent capabilities to measurable enterprise business outcomes

Lead discovery activities including user research, stakeholder interviews, and assumption testing — framing the riskiest hypotheses first and de-risking them before committing to build

Design and run experiments including POCs, pilot deployments, and scenario-based testing of multi-step agentic workflows, edge cases, and failure recovery

Define agent behavior end-to-end including system prompts, tool schemas, context management, summarization, and working memory patterns across multi-step tasks

Own backlog management and sprint execution day-to-day on complex AI engagements — prioritizing work, refining agent behavior and requirements with engineering, and keeping the team moving.

Own and run evals frameworks covering task completion, reasoning quality, tool selection, failure recovery, and safety — iterating based on evidence rather than assumptions

Define success metrics at the agent level including task completion rate, cost per task, escalation rate, and time to resolution alongside business KPIs

Establish human-in-the-loop boundaries and guardrails — when the agent acts autonomously, when it escalates, and how to handle non-deterministic output

Bring an AI-forward mindset to your daily work, using tools like Claude, Claude Code, Cursor, and GitHub Copilot — and agentic frameworks where relevant — to move faster than traditional product

Collaboration & Communication

Work with distributed teams and stakeholders across regions, communicating in both Spanish and English.

Lead stakeholder working sessions, prioritization discussions, and risk conversations with senior client stakeholders with confidence and clarity

Communicate complex AI tradeoffs, agent behavior, and product decisions clearly to both technical and non-technical executive audiences

Build trusted relationships with client stakeholders and serve as a reliable, consultative partner throughout the engagement

Leadership & Influence

Lead prioritization decisions by balancing business value, technical feasibility, cost, latency, and delivery timelines

Frame every request in terms of user and business outcomes, pushing back on feature-level thinking and managing AI hype cycles with realistic expectations

Begin mentoring junior AI PMs on the engagement, sharing knowledge on evals, agent design, and AI product delivery practices

What You’ll Bring

5+ years of experience in product management with hands-on experience shipping AI features or products

Professional-level Spanish and English (spoken and written).

Ability to read code (Python, JavaScript, or TypeScript), evaluate architecture decisions, and make informed product tradeoffs on technical constraints

Deep understanding of AI concepts including LLMs, RAG, fine-tuning, prompt and context engineering, agentic systems such as planning, tool use, human-in-the-loop controls, and guardrails, and evals

Proven ability to prototype AI and agentic solutions using modern AI tools to validate hypotheses and de-risk product decisions (e.g., Claude, Claude Code, Cursor, GitHub Copilot)

Experience defining evaluation approaches, guardrails, and governance for AI products.

Experience defining agent behavior including system prompts, tool schemas, and human-in-the-loop boundaries

Strong experience working with AWS AI services in a product context (e.g., Bedrock, Lambda, SageMaker, Kendra)

Strong client communication skills and the ability to frame AI capabilities and limitations for non-technical executive audiences

Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves rapidly

Experience in a consulting or agency environment is a plus.

Familiarity with agent orchestration frameworks (LangChain, LangGraph, AWS Strands) is a plus.

Software engineering background (Python, JavaScript, TypeScript) is a plus.

Helpful Extras and Unique Skills

Hands-on experience working with open-source LLMs, even in side projects or POCs.

Exposure to multi-modal AI (vision, voice, or document AI) beyond text-based agents.

Awareness of AI governance or responsible AI frameworks (privacy, safety, model usage policies).

Vertical depth in one or more of Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, or Manufacturing.

You’ll Do Well Here if You Are

A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.

A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.

Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.

Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.

Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs s